Abstract. This paper presents a rough set model for constraint-based multidimensional association rule mining. It first overviews the progress in constraintbased multi-dimensional ...
In high-tech industries, most manufacturing processes are complexly intertwined, in that manufacturers or engineers can hardly control a whole set of processes. They are only capa...
We mine a large taxonomic dataset for subject classification rules. We then use these rules to perform an extensive analysis of the subject matter of the largest general purpose in...
Abstract. Evaluation is crucial for the success of most research domains, and image retrieval is no exception to this. Recently, several benchmarks have been developed for visual i...
In this paper we describe an interactive guide that is able to automatically retrieve information about objects on display in museums. A visitor can point this mobile device at exh...
An original task of structuring and labeling large television streams is tackled in this paper. Emphasis is put on simple and efficient methods to detect precise boundaries of prog...
Most of the currently existing image retrieval systems make use of either low-level features or semantic (textual) annotations. A combined usage during annotation and retrieval is ...
This work presents a discriminative model for the retrieval of pictures from text queries. The core idea of this approach is to minimize a loss directly related to the retrieval pe...
A novel and general criterion for image similarity validation is introduced using the so-called a contrario decision framework. It is mathematically proved that it is possible to c...
In the area of Music Information Retrieval (MIR), great technical progress has been made since this discipline started to mature in the late 1990s. Yet, despite the almost universa...